A control method, relating to the technical field of automobile intelligent driving includes: determining a target parking spot, and automatically generating target track points, an estimated braking distance, and an estimated coasting distance; calculating the longitudinal distance between the current position and the target end point according to the target track points and the current control deviation; collecting real-time vehicle driving information, and calculating current vehicle speed, slope, and vehicle braking response time information;

updating the longitudinal distance at a fixed frequency according to the longitudinal distance to the target end point and the real-time vehicle speed; on the basis of control state decision logic, performing real-time estimation of the distance to the target parking point to determine the vehicle control state. A system for fixed-point parking in autonomous driving includes a vehicle information collection module, a position estimation module, and a control state decision module.

A controller and a method for controlling motion of a vehicle is provided. The method comprises acquiring motion information including a current state of the vehicle and a desired state of the vehicle, determining a combination of a steering angle of the wheels and motor forces for moving the vehicle from the current state into the desired state by using a first model of the motion of the vehicle and a second model of the motion of the chassis of the vehicle, determining a cost function of the motion of the vehicle, optimizing the cost function of the motion of the vehicle to compute a command signal for controlling the steering wheel and the plurality of electric motors, and controlling the steering angle of the wheels and the motor forces based on the command signal.

A method for parking control is provided in the present application, which includes the following steps: determining whether a single-pedal mode is activated determining whether conditions for deceleration control are met when the single-pedal mode is activated; controlling the new-energy vehicle to decelerate when the conditions for deceleration control are met; determining whether conditions for sending a brake request to a motor controller are met during a process of controlling the new-energy vehicle to decelerate; sending the brake request to the motor controller when the conditions for sending a brake request to the motor controller are met; and sending a parking request to an electronic handbrake when the new-energy vehicle is in the brake mode and the speed of the new-energy vehicle is smaller than the third preset value for a third preset time, enable the new-energy vehicle to enter in a parking mode.

The present disclosure describes a computer-implemented method for controlling a vehicle. In aspects, the computer-implemented method includes acquiring sensor data from a sensor, determining first processed data related to a first area around the vehicle based on the sensor data using a machine-learning method, and determining second processed data related to a second area around the vehicle based on the sensor data using a conventional method. The second area may include a subarea of the first area. In addition, the computer-implemented method includes controlling the vehicle based on the first processed data and the second processed data.

A vehicle control device comprises a unit to detect a distance to an obstacle; a unit to detect a speed of the vehicle; and a reduction support unit to, based on the speed and the distance, perform support for reduction of a speed of the vehicle. The reduction support unit changes the distance at which the reduction support is to be performed between a case where driving during parking and a case where not driving during parking. The distance at which the reduction support is to be performed is, for a first speed range, longer in a case where driving during parking than in a case where not driving during parking, and, for a second speed range, longer in a case where not driving during parking than in a case where driving during parking.

A method comprises receiving driving data from a plurality of connected vehicles approaching an intersection, the driving data comprising a speed and position of a connected vehicle, determining estimated times of arrival that each of the connected vehicles will arrive at the intersection based on the driving data, scheduling the connected vehicles to cross the intersection in a particular order based on the estimated times of arrival, and transmitting the scheduled order to the connected vehicles.

A vehicle control apparatus is mounted in a vehicle and includes: an object detecting unit that detects an object in a travelling direction of the vehicle; and a suppressing unit that suppresses driving force of the vehicle when the object detecting unit detects the object. The suppressing unit performs a first process to gradually increase the driving force when a command to move in the travelling direction is issued and the vehicle is stopped in a state in which the driving force of the vehicle is suppressed, and after the vehicle starts to move from the stopped state, performs a second process to gradually increase the driving force with an amount of increase per time in the driving force that is less than that in the first process.

A vehicle includes an engine, an accelerator pedal, and a controller. The controller is programmed to command torque to the engine based on a set speed of adaptive cruise control and is programmed to, in response to the adaptive cruise control being active, a measured lateral acceleration of the vehicle exceeding a user-defined lateral acceleration threshold during a road curve, and the accelerator pedal being released, reduce a speed of the vehicle below the set speed until the measured lateral acceleration is less than the lateral acceleration threshold.

A method for operating a two-wheeler. The two-wheeler includes a drive unit and a sensor system, the sensor system including a rotation rate sensor, an acceleration sensor, and a wheel speed sensor. The wheel speed sensor detects at least one measuring pulse per revolution of a wheel of the two-wheeler. The method includes: detecting three-dimensional rotation rates of the two-wheeler, detecting acceleration values of the two-wheeler, and estimating a motion state of the two-wheeler based on the detected rotation rates, the motion state including estimated values for estimated acceleration values and an estimated speed and an estimated distance covered, first correction of the estimated motion state based on the detected acceleration values, ascertaining an instantaneous steering angle of the two-wheeler based on the corrected estimated motion state, and actuating the drive unit and/or an antilocking system of the two-wheeler as a function of the ascertained instantaneous steering angle.

A VP includes an EPB system configured to switch between activation and release of brakehold and a VCIB that interfaces between an ADS and a VP. The VCIB is configured to provide a standstill status signal to the ADS. The standstill status signal includes a value applied indicating activation of brakehold and a value released indicating release of brakehold. The ADS includes a compute assembly. When the compute assembly requests the VP to activate brakehold, it requests the VP to decelerate until the standstill status signal switches from the value released to the value applied.